Avinash Kori

2.2k total citations
2 papers, 65 citations indexed

About

Avinash Kori is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Economics and Econometrics. According to data from OpenAlex, Avinash Kori has authored 2 papers receiving a total of 65 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Economics and Econometrics. Recurrent topics in Avinash Kori's work include Explainable Artificial Intelligence (XAI) (2 papers), Advanced Neural Network Applications (1 paper) and Cell Image Analysis Techniques (1 paper). Avinash Kori is often cited by papers focused on Explainable Artificial Intelligence (XAI) (2 papers), Advanced Neural Network Applications (1 paper) and Cell Image Analysis Techniques (1 paper). Avinash Kori collaborates with scholars based in United Kingdom and India. Avinash Kori's co-authors include Ganapathy Krishnamurthi, Antonio Rago, D. N. Thomas, S. E. Sale and Francesco Belardinelli and has published in prestigious journals such as Frontiers in Computational Neuroscience and Research Portal (King's College London).

In The Last Decade

Avinash Kori

1 paper receiving 64 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Avinash Kori United Kingdom	1	36	35	23	17	14	2	65
Mohammad Al Sa’d United Kingdom	3	28 0.8×	14 0.4×	15 0.7×	26 1.5×	5 0.4×	4	58
Obioma Pelka Germany	7	54 1.5×	37 1.1×	8 0.3×	46 2.7×	9 0.6×	17	104
Biraja Ghoshal United Kingdom	4	45 1.3×	33 0.9×	4 0.2×	12 0.7×	8 0.6×	5	83
Jean-François Rajotte Canada	3	32 0.9×	16 0.5×	4 0.2×	11 0.6×	14 1.0×	6	77
Beatriz García Santa Cruz Luxembourg	4	47 1.3×	59 1.7×	7 0.3×	7 0.4×	17 1.2×	6	97
Ramya Mohan India	6	38 1.1×	49 1.4×	23 1.0×	22 1.3×	2 0.1×	22	118
Tianyuan Yao United States	6	48 1.3×	48 1.4×	9 0.4×	47 2.8×	5 0.4×	29	118
Leonardo O. Iheme Türkiye	5	54 1.5×	26 0.7×	11 0.5×	16 0.9×	2 0.1×	13	82
Aliasghar Mortazi United States	3	86 2.4×	81 2.3×	15 0.7×	16 0.9×	19 1.4×	6	136
Oscar Durán Colombia	2	94 2.6×	83 2.4×	12 0.5×	31 1.8×	11 0.8×	3	129

Countries citing papers authored by Avinash Kori

Since Specialization

Citations

This map shows the geographic impact of Avinash Kori's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Avinash Kori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avinash Kori more than expected).

Fields of papers citing papers by Avinash Kori

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Avinash Kori. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Avinash Kori. The network helps show where Avinash Kori may publish in the future.

Co-authorship network of co-authors of Avinash Kori

This figure shows the co-authorship network connecting the top 25 collaborators of Avinash Kori. A scholar is included among the top collaborators of Avinash Kori based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Avinash Kori. Avinash Kori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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2 of 2 papers shown

1.

Thomas, D. N., et al.. (2025). Explainable Reinforcement Learning for Formula One Race Strategy. Research Portal (King's College London). 1090–1097.

2.

Kori, Avinash, et al.. (2020). Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis. Frontiers in Computational Neuroscience. 14. 6–6. 65 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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